Fuzzy-Based Distributed Cooperative Secondary Control with Stability Analysis for Microgrids

Abstract

This research suggests a novel distributed cooperative control methodology for a secondary controller in islanded microgrids (MGs). The proposed control technique not only brings back the frequency/voltage to its reference values, but also maintains precise active and reactive power-sharing among distributed generation (DG) units by means of a sparse communication system. Due to the dynamic behaviour of distributed secondary control (DSC), stability issues are a great concern for a networked MG. To address this issue, the stability analysis is undertaken systematically, utilizing the small-signal state-space linearized model of considering DSC loops and parameters. As the dynamic behaviour of DSC creates new oscillatory modes, an intelligent fuzzy logic-based parameter-tuner is proposed for enhancing the system stability. Accurate tuning of the DSC parameters can develop the functioning of the control system, which increases MG stability to a greater extent. Moreover, the performance of the offered control method is proved by conducting a widespread simulation considering several case scenarios in MATLAB/Simscape platform. The proposed control method addresses the dynamic nature of the MG by supporting the plug-and-play functionality, and working even in fault conditions. Finally, the convergence and comparison study of the offered control system is shown.

Power‐frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system

“…Refs. [19,20] improved the conventional virtual synchronous generator control using fuzzy logic algorithms to establish a secondary controller for microgrids. Through precise adjustment of fuzzy control output parameters, the voltage and frequency are adjusted to improve the microgrid effectively, at the same time, the dynamic characteristics of the microgrid improve the stability of the microgrid to a certain extent.…”

Stability Analysis of Systems with Fuzzy PI Controllers Applied to Electric Drives

“…The analysis of the stability of fuzzy control systems is approached in the literature by using various methods of analysis: utilization of a small-signal state-space linearized model [6] based on Lyapunov's direct method [7,8], using the Toeplitz matrices and their singular values [9], analyzing input-to-state stability and imposing some conditions [10], and applying Lyapunov's functions and theorem [11,12].…”

Frequency and Voltage Control Techniques through Inverter-Interfaced Distributed Energy Resources in Microgrids: A Review

“…The accurate power-sharing from islanded to grid-connected modes has been investigated with hybrid control and non-linear loads [155,156] and using intelligent methods [157].…”